JIEIE
Journal of the Korean Institute of Illuminating
and Electrical Installation Engineers
KIIEE
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ISSN : 1229-4691 (Print)
ISSN : 2287-5034 (Online)
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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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J Korean Inst. IIIum. Electr. Install. Eng.
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2026-08
(Vol.40 No.4)
10.5207/JIEIE.2026.40.4.276
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References
1
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3
J. Lee, Y. Choi, "Fault detection in diecasting process based on deep-learning", Journal of Korea Foundry Society, vol. 42, no. 6, pp. 369-375, 2022.
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S. H. Park, K. H. Lee, J. S. Park, Y. S. Shin, "Deep learning-based defect detection for sustainable smart manufacturing", Sustainability, vol. 14, no. 5, pp. 2697, 2022.
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N. H. Kim, H. J. Lee, H. J. Jeong, J. G. Lee, "Automatic detection system for surface defects of home appliances based on machine vision", Journal of Smart Media, vol. 11, no. 10, pp. 65-71, 2022.
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A. Mohammed, "Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks", Journal of Intelligent Manufacturing, vol. 34, no. 1, pp. 303-314, 2023.
7
J. Y. Lee, "Technologies for collecting, processing, analyzing, and utilizing data for intelligent die-casting processes", Journal of the Korean Society of Manufacturing Technology Engineers, vol. 29, no. 6, pp. 441-448, 2020.
8
W. Guo, "A robotic deburring methodology for tool path planning and process parameter control of a five-degree-of-freedom robot manipulator", Applied Sciences, vol. 9, no. 10, pp. 2033, 2019.